通过多源卫星数据融合改进旋转扫描卫星图像定位精度的方法
Liwei Wang1,2, Peng Wang3, Yamin Zhang1,2
1School of Aerospace, Harbin Institute of Technology, Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究介绍了一种精确的定位方法,用于使用多源数据融合旋转扫描卫星图像. 这种方法通过纠正几何扭曲而显著提高了准确性,实现了仪表水平定位.
科学领域:
- 遥感 遥感 遥感 遥感
- 这是一种摄影计量技术 (photogrammetry).
- 地质测量是指地质测量.
背景情况:
- 旋转扫描系统可以获取超宽范围的图像,但由于几何扭曲而面临定位准确性问题.
- 在大面积上获得地面控制点 (GCP) 的困难加剧了准确度的下降.
研究的目的:
- 开发用于旋转扫描卫星图像的精确定位方法.
- 通过多源数据融合来解决几何扭曲,提高定位准确性.
主要方法:
- 多源卫星数据合并 (ZY-3,GF-2,DEM).
- 基于网格的特征点提取和高精度匹配.
- 将几何约束与最小平方最小化 (LSM) 和强大的关节调整模型集成.
主要成果:
- 在关节调整后,图像的平面精度达到了4.01米.
- 邻近图像之间的边缘匹配根平均平方误差 (RMSE) 为2.52m.
- 合作定位精度在山区达到4.68米,在平原地区达到5.22米.
结论:
- 多源合作调整有效地纠正旋转扫描图像中的几何扭曲.
- 拟议的方法显著提高定位准确性,满足计量器级别的要求.
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